information management


Opportunities and Challenges in Search Interaction

Communications of the ACM

Interacting with search systems, such as Web search engines, is the primary means of information access for most people. Search providers have invested billions of dollars developing search technologies, which power search engines and feature in many of today's virtual assistants (including Google Assistant, Amazon Alexa, Microsoft Cortana, and others). For decades, search has offered a plentiful selection of research challenges for computer scientists and the advertising models that fund industry investments are highly lucrative. Given the phenomenal success, search is often considered a "solved problem." There is some truth to this for fact-finding and navigational searches, but the interaction model and the underlying algorithms are still brittle in the face of complex tasks and other challenges, for example, presenting results in non-visual settings such as smart speakers.15


Pure Storage launches cloud data management suite for AWS in hybrid play

ZDNet

Pure Storage is launching its software on Amazon Web Services with block storage, data protection and deduplication services in the public cloud. The aim for Pure Storage is to better bridge on-premises and cloud infrastructure. The move highlights a few key trends in the enterprise space. First, hybrid architecture is becoming the new norm as companies aim to run applications in the cloud and data center interchangeably. In addition, data and storage players are positioning to handle more real-time workloads such as artificial intelligence, machine learning and analytics with solid-state storage.


How Machine Learning Is Helping Data Centers Chill Out - Analytics India Magazine

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A typical warm day on South pole is 20 degrees below zero and the irony is that the data centers run by ICE CUBE Neutrino Observatory can still get overheated. A normal day at any data center involves troubleshooting, racking and stacking and, with such enormous data in-flows, that the task becomes tedious for the employees and they are prone to sometimes failing to deliver in real-time. The technicians aren't to be blamed either because a typical UPS is reactive -- it either functions flawlessly or burns out altogether. Machine learning models, on the other hand, are proactive and they work stupendously to forecast failures. Data centers are modern-day engineering marvels.


Big Data is a Powerful Asset for Business Success

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Various business trends today, such as the use of artificial intelligence and multimedia visual marketing, are connected to the concept of Big Data. Every action internet users take generates a data trail, and the amount of machine-generated data is growing too. Using this data effectively can give businesses an edge in today's competitive environment. Analyzing Big Data helps them to achieve better results in many areas of business with minimum wasted effort and costs. Big Data refers to large amounts of information.


GIS and Data Lab now open in Rotch Library

MIT News

A new GIS and Data Lab for the MIT community is now open in Rotch Library, bringing together the MIT Libraries' programs in GIS (geographic information systems) and data management services in one location and expanding resources for statistical analysis, data visualization, text mining, image processing, and virtual and augmented reality. A redesign of the first floor of the Rotch Library addition (Building 7A) this fall allowed the libraries to expand service space as well as create a vibrant community workspace. The GIS Lab, which had previously been located on the third floor of Rotch Library, has moved to the first floor and now shares space with the libraries' data management services. The new space combines an area for teaching and learning, open study or collaboration space, and staff offices. "Libraries are about the intersections of people, information, and technology and how those intersections generate new knowledge and lead people to discover it," says Howard Silver, head of data and specialized services at MIT Libraries.


Find any file anywhere: Cloudtenna targets local and cloud file search

ZDNet

Here is a step-by-step guide to reducing your digital footprint online, whether you want to lock down data or vanish entirely. The combination of big data and (relatively) cheap cloud storage has led to an explosion in efforts to make stored files findable. Google has Cloud Search, Elastic recently scored a $4B IPO, and other startups like Coveo and butter.ai Cloudtenna is another startup in the space that is announcing an expansion of their cloud search engine, called DirectSearch. The new product adds a machine learning platform that find files across disparate platforms, including Dropbox, Box, Microsoft OneDrive, Google Drive, Outlook, Gmail, Slack, Atlassian JIRA and Confluence, and local file servers.


The Future of Things

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Thank you for your lessons. But it is time we move on. I look forward to you and for the best things that are yet to come. "Everything remains as it never was" Change and transformation are the only constants, always driving us into the future, right from the time fire was discovered, the wheel was invented. Industries have been undergoing massive transformation right from the industrial revolution.


Not Just for Google: ML-Assisted Data Center Cooling You Can Do Today

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Not only is this blunt-force approach extremely inefficient, it doesn't guarantee that none of the IT equipment will overheat. "You encounter hot spots even in an over-cooled data center," Rajat Gosh, CEO of AdeptDC, a startup whose software use machine learning to manage data center infrastructure, told Data Center Knowledge in an interview. One of the hardest problems to solve in data center cooling is pressure distribution, he said, and machine learning can be especially effective at solving it. Earlier this year, Joe Kava, the man in charge of data centers for Alphabet's Google, revealed to us that the company had been using machine learning algorithms to automatically tune its data center cooling systems, which enabled cooling energy savings of up to 30 percent. Google has considered turning the technology into a solution it can offer to other companies managing industrial facilities, and it may that sometime in the future, but you don't need to wait.


Can China's new AI news anchors give Anderson Cooper a run for his money?

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China's state-owned Xinhua News Agency introduced so-called "composite anchors" on Wednesday, combining the images and voices of human anchors with artificial intelligence (AI) technology. The new AI anchors, launched by Xinhua and Beijing-based search engine operator Sogou during the World Internet Conference in Wuzhen, can deliver the news with "the same effect" as human anchors because the machine learning programme is able to synthesise realistic-looking speech, lip movements and facial expressions, according to a Xinhua news report on Wednesday. "AI anchors have officially become members of the Xinhua News Agency reporting team. They will work with other anchors to bring you authoritative, timely and accurate news information in both Chinese and English," Xinhua said. The AI anchors are now available throughout Xinhua's internet and mobile platforms such as its official Chinese and English apps, WeChat public account, and online TV webpage.


Google algorithm monitors searches to spot restaurants that could give you food poisoning

Daily Mail

Google may soon tell you which restaurants could give you food poisoning. The tech giant is working with Harvard University to develop an algorithm that analyzes Google searches to spot which restaurants might have food safety issues. Researchers say it's capable of flagging possible offenders in'near real time.' They created a machine-learning based algorithm to identify unsafe restaurants, training it to look for specific search terms and location data. The model is called FINDER, or Foodborne Illness Detector in Real Time.